Hybrid Lead Insight Analyst - Lending and Risk Analytics

Scot Lewis Associates; Sheffield; Hybrid; GBP 132,000 - 174,000; Full time

Job summary

Scot Lewis Associates is seeking a Lead Insights Analyst for a 6-month contract on a Hybrid basis (3 days in office). The role can be based in Birmingham, Sheffield, Leeds or Chester, with a day rate up to £830 umbrella.

You will translate business needs into data products and lead analytics projects across lending, customer behaviour and pricing. Strong SAS/SQL/Python skills, deep data platform knowledge and familiarity with FCA regulation in lending are essential.

Qualifications

• Strong analytics or risk analytics experience, ideally within consumer lending (secured or unsecured).
• An understanding of consumer lending products, profitability and credit risk and proven ability to drive rapid insights from available data to drive business forward is critical.
• Proven ability to extract, analyse and interpret large, complex datasets to generate actionable business insights.
• Advanced coding skills in SAS, SQL, Python (or similar) for data extraction, validation and analysis.

Responsibilities

• Translate business needs into data products, analytics and machine-learning solutions.
• Build and maintain data assets, models and metadata to global standards.
• Deliver insights across lending, consumer behaviour, marketing, pricing and growth.
• Develop predictive, forecasting and stress-testing models on large datasets.
• Lead complex analytical projects, clearly communicating risk, reward and customer impact.

Skills

Analytics experience

Risk analytics

Consumer lending knowledge

Data extraction and analysis

SAS

SQL

Python

Data platforms

FCA regulation knowledge

Independent work under pressure

Job description

Scot Lewis Associates is seeking a Lead Insights Analyst for a 6-month contract on a Hybrid basis (3 days in office). The role can be based in Birmingham, Sheffield, Leeds or Chester, with a day rate up to £830 umbrella.

You will translate business needs into data products and lead analytics projects across lending, customer behaviour and pricing. Strong SAS/SQL/Python skills, deep data platform knowledge and familiarity with FCA regulation in lending are essential.